Work

Deep learning systems for detecting and classifying the presence of impacted supernumerary teeth in the maxillary incisor region on panoramic radiographs

Year: 2020

Type: article

Source: Oral Surgery Oral Medicine Oral Pathology and Oral Radiology

DOI: 10.1016/j.oooo.2020.04.813

Authors: Chiaki Kuwada, Yoshiko Ariji, Motoki Fukuda, Yoshitaka Kise, Hiroshi Fujita, Akitoshi Katsumata, Eiichiro Ariji

Institutions: Aichi Gakuin University, Gifu University, Asahi University

Language: English

Topic: Dental Radiography and Imaging

Subfield: Oral Surgery

Field: Dentistry

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Japan Society for the Promotion of Science

Award: Can artificial intelligence prevent critical diseases from being overlooked in dental imaging diagnosis? : multicenter joint study

OpenAlex ID: W3033972758

FWCI: 14.63

Cites: 20

Cited by: 132

Related to: 10